PartCATSeg improves open-vocabulary part segmentation by separating object- and part-level cost volumes, adding a compositional loss, and injecting DINO structural guidance, achieving over 10% h-IoU gains on three benchmarks.
Zero-shot semantic segmentation.Advances in Neural Information Processing Systems, 32, 2019
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Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation
PartCATSeg improves open-vocabulary part segmentation by separating object- and part-level cost volumes, adding a compositional loss, and injecting DINO structural guidance, achieving over 10% h-IoU gains on three benchmarks.